> Markdown version of [/jobs/ext/4302684-golang-developer](https://www.wearedevelopers.com/jobs/ext/4302684-golang-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Golang Developer - **Company:** The Smart - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $83,200.0 - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Acceptance Test-Driven Development, Microsoft Azure, Code Review, Databases, Continuous Integration, Distributed Data Store, Distributed Systems, Query Optimization, Software Engineering, SQL Databases, Data Streaming, Datadog, Data Logging, Google Cloud, Data Ingestion, Backend, Kubernetes, Apache Kafka, Dynatrace, Docker, Golang - **Published:** October 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9fb902ebef52f4ef ## About the Role 6+ years of backend software engineering experience, with a strong record of shipping production services at scale. Proven, hands-on proficiency in Go and/or Rust - you write these languages regularly and can demonstrate production systems you have built with them. Solid experience building and operating distributed data systems: event streaming (Kafka, Kinesis, or equivalent), time-series databases, and high-throughput ingestion pipelines. Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing tradeoffs. Experience with cloud-native deployment: containerization (Docker), Kubernetes orchestration, and operating services across at least one major cloud provider (AWS, Google Cloud Platform, or Azure). Familiarity with observability tooling - structured logging, metrics (PrometheGrafana or equivalent), and distributed tracing (OpenTelemetry or equivalent). Comfortable writing SQL and working with both relational and time-series data models; experience with schema design and query optimization. Strong engineering practices: test-driven or test-informed development, code review, CI/CD, and operational ownership including on-call.